Demand Driven Computing Professors in Global

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Joey Paquet
Concordia University Canada
demand-driven computing
context-driven computing
distributed computing
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Ian Foster
University of Chicago United States of America
data-intensive computing
distributed computing
high-performance computing
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Dilma Da Silva
Texas A&M University United States of America
distributed computing
cloud computing
high-end computing
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Heather Miller
Carnegie Mellon University United States of America
distributed concurrent computation
data-intensive systems
data-centric programming
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Jason Nieh
Columbia University United States of America
high-performance computing
cloud computing
thin-client computing
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Ian Foster
University of Chicago United States of America
data-intensive computing
distributed computing
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Dennis Prak
University of Twente Netherlands
demand forecasting
data-driven optimization
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David Alexander
Texas A&M University United States of America
demand generation
data-driven decision making
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David Thomas
University of Southampton United Kingdom
event-driven computing
high-performance computing
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Ignacio Serrano Van Der Schraft
Imperial College London United Kingdom
demand-side response
demand-side flexibility
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Hamidreza Zareipour
University of Calgary Canada
energy demand forecasting
demand side management
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Stefan Mabit
Technical University of Denmark Denmark
vehicle demand modelling
travel demand modelling
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Pengju Liu
Umeå University Sweden
demand-side flexibility
demand response
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Anders Nilsson
Uppsala University Sweden
demand side management
demand response
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Cebrina Lindstrøm
Technical University of Denmark Denmark
demand prediction
on-demand transportation
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Ian Jeffrey
University of Manitoba Canada
distributed computing
high-performance computing
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Bipin Rajendran
King's College London United Kingdom
event-driven computing
stochastic computing
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Martin Werner
Technical University of Munich Germany
distributed computing
high performance computing
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Nooshin Salari
University of Alberta Canada
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data-driven optimization
data-driven decision-making
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Lifan Wang
Texas A&M University United States of America
data-intensive computation
high-performance computing
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Marie Maros
Texas A&M University United States of America
distributed computing
distributed optimization
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